Machine Learning
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Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.
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Machine Learning
39.2K subscribers
Machine Learning
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Inheritance: A Software Engineering Concept Data Scientists Must Know To Succeed
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Category: PROGRAMMING
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Date: 2025-05-22 |
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Read time: 12 min read
Coding concepts that distinguish an amateur from a professional data scientist
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What Statistics Can Tell Us About NBA Coaches
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Category:
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Date: 2025-05-22 |
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Read time: 10 min read
Using Python to determine where NBA coaches come from and what makes them successful
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About Calculating Date Ranges in DAX
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Category: DATA ANALYSIS
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Date: 2025-05-22 |
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Read time: 7 min read
When performing date calculations, creating date ranges can be helpful. But how can we doβ¦
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Top Machine Learning Jobs and How to Prepare For Them
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Category: MACHINE LEARNING
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Date: 2025-05-21 |
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Read time: 8 min read
Explaining the different machine learning roles
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Use PyTorch to Easily Access Your GPU
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Category: PROGRAMMING
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Date: 2025-05-21 |
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Read time: 12 min read
Or β¦ how an ML library can accelerate non-ML computations
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Building AI Applications in Ruby
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2025-05-21 |
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Read time: 15 min read
Why Ruby may be the best language to write your next AI web application
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What the Most Detailed Peer-Reviewed Study on AI in the Classroom Taught Us
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Category: LARGE LANGUAGE MODELS
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Date: 2025-05-20 |
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Read time: 8 min read
A meta analysis that turns out positive yet identifies the need for further research
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I Teach Data Viz with a Bag of Rocks
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Category: DATA SCIENCE
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Date: 2025-05-20 |
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Read time: 5 min read
Hereβs Why Domain-Specific Integration Matters in Your Data Science Workflows
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Optimizing Multi-Objective Problems with Desirability Functions
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Category: DATA SCIENCE
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Date: 2025-05-20 |
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Read time: 8 min read
Applied to a very real problem: baking bread!
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How to Set the Number of Trees in Random Forest
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Category: MACHINE LEARNING
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Date: 2025-05-16 |
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Read time: 13 min read
A practical introduction to the optRF package
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How to Build an AI Journal with LlamaIndex
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2025-05-16 |
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Read time: 10 min read
A step-by-step guide for building an AI assistant powered by LlamaIndex
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The Automation Trap: Why Low-Code AI Models Fail When You Scale
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2025-05-16 |
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Read time: 7 min read
Low-code AI platforms promise speed, a model without a single line of code. But whenβ¦
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Agentic AI 102: Guardrails and Agent Evaluation
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2025-05-16 |
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Read time: 12 min read
An introduction to tools that make your model safer and more predictable and performant.
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Googleβs AlphaEvolve Is Evolving New Algorithms β And It Could Be a Game Changer
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2025-05-15 |
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Read time: 6 min read
A blend of LLMsβ creative generation capabilities with genetic algorithms
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Understanding Random Forest using Python (scikit-learn)
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Category: MACHINE LEARNING
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Date: 2025-05-15 |
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Read time: 9 min read
A Random Forest is a powerful machine learning algorithm that can be used for classificationβ¦
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How to Learn the Math Needed for Machine Learning
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Category: MATH
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Date: 2025-05-15 |
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Read time: 7 min read
A breakdown of the three fundamental math fields required for machine learning: statistics, linear algebra,β¦
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Explore the New World of Agent Protocols
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Category: THE VARIABLE
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Date: 2025-05-15 |
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Read time: 3 min read
This week, we focus on helping you gain a deeper understanding of MCP and otherβ¦
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Boost 2-Bit LLM Accuracy with EoRA
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Category: LARGE LANGUAGE MODELS
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Date: 2025-05-15 |
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Read time: 9 min read
A training-free solution for extreme LLM compression.
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The Geospatial Capabilities of Microsoft Fabric and ESRI GeoAnalytics, Demonstrated
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Category: DATA ENGINEERING
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Date: 2025-05-15 |
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Read time: 8 min read
A step closer to spatial AI with geospatial processing with Fabric
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Strength in Numbers: Ensembling Models with Bagging and Boosting
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Category: DATA SCIENCE
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Date: 2025-05-15 |
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Read time: 16 min read
Mastering the fundamentals of bagging and boosting with simple examples
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Efficient Graph Storage for Entity Resolution Using Clique-Based Compression
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Category: DATA SCIENCE
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Date: 2025-05-14 |
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Read time: 7 min read
Entity resolution systems face challenges with dense, interconnected graphs, and clique-based graph compression offers anβ¦
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